Organic Matter Decomposition and Ecosystem Metabolism as Tools to Assess the Functional Integrity of Streams and Rivers–A Systematic Review
dc.contributor.author | Ferreira, Verónica | |
dc.contributor.author | Elosegi Irurtia, Arturo | |
dc.contributor.author | Tiegs, Scott D. | |
dc.contributor.author | Von Schiller Calle, Daniel Gaspar | |
dc.contributor.author | Young, Roger | |
dc.date.accessioned | 2021-01-12T10:51:53Z | |
dc.date.available | 2021-01-12T10:51:53Z | |
dc.date.issued | 2020-12-15 | |
dc.identifier.citation | Water 12(12) : (2020) // Article ID 3523 | es_ES |
dc.identifier.issn | 2073-4441 | |
dc.identifier.uri | http://hdl.handle.net/10810/49681 | |
dc.description.abstract | Streams and rivers provide important services to humans, and therefore, their ecological integrity should be a societal goal. Although ecological integrity encompasses structural and functional integrity, stream bioassessment rarely considers ecosystem functioning. Organic matter decomposition and ecosystem metabolism are prime candidate indicators of stream functional integrity, and here we review each of these functions, the methods used for their determination, and their strengths and limitations for bioassessment. We also provide a systematic review of studies that have addressed organic matter decomposition (88 studies) and ecosystem metabolism (50 studies) for stream bioassessment since the year 2000. Most studies were conducted in temperate regions. Bioassessment based on organic matter decomposition mostly used leaf litter in coarse-mesh bags, but fine-mesh bags were also common, and cotton strips and wood were frequent in New Zealand. Ecosystem metabolism was most often based on the open-channel method and used a single-station approach. Organic matter decomposition and ecosystem metabolism performed well at detecting environmental change (≈75% studies), with performances varying between 50 and 100% depending on the type of environmental change; both functions were sensitive to restoration practices in 100% of the studies examined. Finally, we provide examples where functional tools are used to complement the assessments of stream ecological integrity. With this review, we hope to facilitate the widespread incorporation of ecosystem processes into bioassessment programs with the broader aim of more effectively managing stream and river ecosystems. | es_ES |
dc.description.sponsorship | This study was financed by the Portuguese Foundation for Science and Technology (FCT) through the strategic project UIDP/04292/2020 granted to MARE–Marine and Environmental Sciences Centre. Financial support granted by the FCT to V.F. (CEECIND/02484/2018) is also acknowledged. D.v.S. is a Serra Húnter Fellow and was additionally supported by the Catalan Government through the FORESTREAM (Forest and Stream Ecological Links: Watershed Management and Restoration) grant (2017 SGR 976). | es_ES |
dc.language.iso | eng | es_ES |
dc.publisher | MDPI | es_ES |
dc.rights | info:eu-repo/semantics/openAccess | es_ES |
dc.rights.uri | http://creativecommons.org/licenses/by/3.0/es/ | |
dc.subject | cotton strip assay | es_ES |
dc.subject | ecosystem functioning | es_ES |
dc.subject | ecosystem respiration | es_ES |
dc.subject | gross primary production | es_ES |
dc.title | Organic Matter Decomposition and Ecosystem Metabolism as Tools to Assess the Functional Integrity of Streams and Rivers–A Systematic Review | es_ES |
dc.type | info:eu-repo/semantics/article | es_ES |
dc.date.updated | 2020-12-24T15:56:24Z | |
dc.rights.holder | 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). | es_ES |
dc.relation.publisherversion | https://www.mdpi.com/2073-4441/12/12/3523/htm | es_ES |
dc.identifier.doi | 10.3390/w12123523 | |
dc.departamentoes | Biología vegetal y ecología | |
dc.departamentoeu | Landaren biologia eta ekologia |
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Except where otherwise noted, this item's license is described as 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).